Modeling the Expenditure and Recovery of Anaerobic Work Capacity in Cycling

Phoebe Bickford,Vijay Sarthy M Sreedhara,Ardalan Vahidi,Randolph E Hutchison,Gregory M Mocko

doi:10.3390/proceedings2060219

Abstract

The objective of this research is to model the expenditure and recovery of Anaerobic Work Capacity (AWC) as related to Critical Power (CP) during cycling. CP is a theoretical value at which a human can operate indefinitely and AWC is the energy that can be expended above CP. There are several models to predict AWC-depletion, however, only a few to model AWC recovery. A cycling study was conducted with nine recreationally active subjects. CP and AWC were determined by a 3-min all-out test. The subjects performed interval tests at three recovery intervals (15 s, 30 s, or 60 s) and three recovery powers (0.50CP, 0.75CP, and CP). It was determined that the rate of expenditure exceeds recovery and the amount of AWC recovered is influenced more by recovery power level than recovery duration. Moreover, recovery rate varies by individual and thus, a robust mathematical model for expenditure and recovery of AWC is needed.

Highlights

In this research, experiments are developed to model the expenditure and recovery of AnaerobicWork Capacity (AWC) for power levels above and below Critical Power (CP)
The subjects could not hold their CP4 for the 4 min minimally necessary to calculate Φ. This resulted in a negative Φ as it was assumed that the subject started the test with 100% Anaerobic Work Capacity (AWC) balance
The objective of the work presented in this paper was to understand the underpinnings of recovery of AWC and to model the same in terms of CP

Summary

Introduction

Experiments are developed to model the expenditure and recovery of AnaerobicWork Capacity (AWC) for power levels above and below Critical Power (CP). The advent of miniature, real-time sensors has provided opportunities for health monitoring [2] as well as exercise-fatigue modeling. These devices include heartrate monitors, Near-Infrared Spectroscopy (NIRS) devices, GPS-enabled wrist watches, and power meters. The motivation of this research is to allow for prolonged physical exertion and to understand how energy and power are used within human work expenditure. Understanding the limitations of the human body can lead to optimized exercise and performance. This can be achieved by optimally reaching fatigue in training and thereby avoiding exhaustion in races

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Conclusion